DAVIDNAI-T5-HUG-93520798
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.9216
- Validation Loss: 2.5848
- Train Rougel: tf.Tensor(0.20213354, shape=(), dtype=float32)
- Epoch: 0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Validation Loss | Train Rougel | Epoch |
---|---|---|---|
2.9216 | 2.5848 | tf.Tensor(0.20213354, shape=(), dtype=float32) | 0 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.8.0
- Tokenizers 0.13.2
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